Pulsar Summit is an annual conference dedicated to Apache Pulsar community. The first Pulsar Summit will be held in San Francisco in April, 2020. Talk submissions, pre-registration, and sponsorship opportunities are now open for the conference!
The Apache Pulsar community has been working on simplifying the process of installing and deploying Pulsar to make sure that it's easier to experiment with and evaluate Pulsar as well as migrating existing applications from one pub-sub system to another.
Adding and removing nodes is one of the most common operations when managing a distributed system. And in Apache Pulsar, it's easy to add/remove nodes if you read this article.
Apache BookKeeper is a choice as a storage platform for your real-time workloads and run well in I/O isolation, data distribution, scalability, and operability.
Apache BookKeeper is a choice as a storage platform for your real-time workloads.
Apache BookKeeper is an enterprise-grade storage system designed to provide strong durability guarantees, consistency, and low latency.
We are very proud to see that Apache Pulsar has attracted its 200th contributor! We would like to express sincere gratitude to all contributors for making what Pulsar is today and shape what Pulsar will be tomorrow.
A segment-centric pub/sub messaging system with distributed log storage can provide many advantages as a reliable streaming system including unbounded log storage, instant scaling without partition rebalancing, fast replica repair, and high write and read availability via maximized data placement options.
Architecture is the most fundamental design decision for a technology, and once implemented it is extremely difficult to change. Architecture is what differentiates and makes possible (or impossible) the most important capabilities of a technology, and that is certainly the case for Apache Pulsar.
Apache Pulsar 2.4.2 is released on 12/04/2019. Thank the great efforts from Apache Pulsar community with over 110 commits, covering improvements and bug fixes.
Apache Pulsar combines high-performance streaming (which Apache Kafka pursues) and flexible traditional queuing (which RabbitMQ pursues) into a unified messaging model and API. Pulsar gives you one system for both streaming and queuing, with the same high performance, using a unified API.
We're excited to announce that StreamNative open sources Pulsarctl: an awesome admin tool in Apache Pulsar. Pulsarctl requires less dependencies to use commands, and provides more comprehensive description and usage for commands. With Pulsarctl, users can find and resolve issues faster when errors occur.
Orange Financial leverages Apache Pulsar to boost the efficiency of its risk-control decision development, and combats financial fraud over 50M transactions a day.
Pulsar plays a mission-critical role in Tencent billing platform. The high consistency, availability and stability of Pulsar helps the billing and trading engine run efficiently. Pulsar have successfully handled tens of billions of transactions during peak time, guarantees data consistency in processing transactions and provides 99.999% high availability for our billing service.
Apache Pulsar is a distributed messaging platform and a fast-growing alternative to Kafka. Apache SkyWalking is a popular application performance monitoring tool...
We’re thrilled to announce that StreamNative open sourced and contributed Apache Pulsar Manager to ASF as a part of Apache Pulsar, Source code and document have been transferred to GitHub that ties together all of our initiatives with information on why we design it.
Leveraging Apache Pulsar, the open source IoT platform ActorCloud implements IoT device data access, device management, data storage, data analysis, and provides a flexible programming interface to develop IoT applications that meet specific needs of IoT vertical industries, and it enables horizontal expansion of device access and data processing.
Yahoo! JAPAN is a Japanese internet company originally formed as a joint venture between Yahoo! and SoftBank. The web portal of Yahoo! JAPAN is the most popular website in Japan, and its internet services are almost dominant in the country. Yahoo! JAPAN has adopted and run Apache Pulsar for many years to process billions of messages every day.
In our previous post, we presented Apache Pulsar as a cloud-native messaging system that is designed for streaming performance and scalability, analyzed the integration status with Apache Flink 1.6, and looked forward to possible future integrations.
GeTui is one of the largest third-party push notification service providers in China. They adopted Pulsar for building a new priority-based notification system to address the business growth issues encountered using Apache Kafka. This blog post discusses why they went with a Pulsar solution.
In the field of massively parallel data analysis, AMPLab's One stack to rule them all proposes to use Apache Spark as a unified engine to support all commonly used data processing scenarios, such as batch processing, stream processing, interactive query, and machine learning.
Pulsar 2.4.0 was released on 06/30/2019 with a list of great features including delayed/scheduled message delivery, key-shared subscription, go function & schema, kerberos authentication, replicated subscription and more.
Zhaopin is one of the largest online recruiting and career platforms in China. In this blog, Penghui Li describes the event processing use cases at Zhaopin and the issues that they faced using two different systems, RabbitMQ and Apache Kafka, and presents their rationale for choosing Apache Pulsar to simplify their event streaming platform.